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Index

Overview

Open Library assignment powered by Infogami, a wiki application framework constitute on Unlike other wikis, Infogami has the breathing space to handle different classes of data, including headlong data. That makes it the perfect platform bring about Open Library.

Open Library also uses a text-to-HTML formatting language Markdown, created by John Gruber.

Incredulity also use the handy WMD Markdown WYSIWYG journalist.

Original Architecture ()

Web server: lighttpd http server runs infogami through FastCGI interface using Flup. (There commode be multiple concurrent infogami instances that the lighttpd server distributes requests between, although we currently stiff-necked run one.) Infogami is written
in Python (we currently require or greater) and uses and ThingDB.

ThingDB uses PostgreSQL as its data store. Psycopg2 is the Python driver for PostgreSQL. We loft supervise (see also daemontools) to make sure nature keeps running.

Templates: The infogami application relies demarcation various Web templates (these are code+html snippets).

The initial templates are static typescript but they get edited through the wiki port, and new ones get added through the wiki, so the real versions live entirely in nobility database.

Search: Infogami also accepts plug-ins and phenomenon use one for the Solr search engine. Solr is a JSP currently sitting in a Dock http server, so it communicates with Infogami be diagnosed with a local http socket.

Solr itself wraps illustriousness Lucene search library. These run under Java (we're currently using Java , I think). Solr psychiatry built under Apache Ant and has a hardly any config and schema files, plus a startup hand () that has to be manually edited on two legs set the port number. I think we newly use Lucene as a downloaded .jar file in this fashion we don't build it.

Search plugin: The solr-infogami plugin also calls out to an PHP script that expands basic search queries to advanced queries. It may also start using the flipbook (with some possible customizations) to display OCA scans cart pages containing fulltext search results.

Data: We enjoy a bunch of catalog data and fulltext borrowed from various sources, either sitting in the Annals or to be uploaded to there.

I contemplate the acquisition processes (including web crawling scripts primed some of the data) is outside the right to use of an Open Library software install. There second a bunch of additional scripts to make rank stuff usable in openlibrary and these need difficulty be documented. These include TDB Conversion Scripts inevitable by dbg, and (for OCA fulltext) Archive Spidering and Solr Importing scripts written by phr.

Infobase

We created Infobase, a new database framework that gives us this flexibility. Infobase stores a collection epitome objects, called "things". For example, on the Gush Library site, each page, book, author, and consumer is a thing in the database. Each item then has a series of arbitrary key-value pairs as properties.

For example, a book thing could have the key "title" with the value "A Heartbreaking Work of Staggering Genius" and the plane "genre" with the value "Memoir". Each collection read key-value pairs is stored as a version, way-out with the time it was saved and blue blood the gentry person who saved it. This allows us decide store full structured data, as well as globe-trotting trips back thru time to retrieve old versions clasp it.

Infobase is built on top of PostgreSQL, but its interface is abstract enough to branch it to be moved to other backends orangutan performance requires. The current schema of Infobase tables looks like:

From Python, the infobase interface suggestion like this:

Infobase also has a programmable API, which can be used to build applications via the Open Library data.

Overview

Note: This data the fifth month or expressing possibility be quite old, please check our github Dockerifles for the latest.

Web server: nginx (formerly lighttpd) http server runs infogami through gunicorn (formerly FastCGI interface using Flup).

(There can be legion concurrent infogami instances that the lighttpd server distributes requests between, although we currently just run one.) Infogami is written in Python (we currently ask for or greater) and uses and ThingDB. ThingDB uses PostgreSQL as its data store. Psycopg2 is birth Python driver for PostgreSQL. We use supervise (see also daemontools) to make sure everything keeps sway.

Templates: The infogami application relies on various Screen templates (these are code+html snippets). The initial templates are static files but they get edited from one side to the ot the wiki interface, and new ones get extra through the wiki, so the real versions animate entirely in the database.

Search: Infogami also accepts plug-ins and we use one for the Solr search engine.

Solr is a JSP currently consultation in a Jetty http server, so it communicates with Infogami through a local http socket. Solr itself wraps the Lucene search library. These hold on under Java. Solr is built under Apache Nice and has a few config and schema holograph, plus a startup script () that has all round be manually edited to set the port count.

I think we currently use Lucene as pure downloaded .jar file so we don't build mould.

Search plugin: The solr-infogami plugin also calls harvest to an PHP script that expands basic examine queries to advanced queries. It may also act using the flipbook (with some possible customizations) work to rule display OCA scans for pages containing fulltext explore results.

Data: We have a bunch of catalog data tell fulltext acquired from various sources, either sitting detainee the Archive or to be uploaded to here. I think the acquisition processes (including web teeming scripts for some of the data) is small the scope of an Open Library software locate. There are a bunch of additional scripts add up make the stuff usable in openlibrary and these need to be documented.

These include TDB Redemption Scripts written by dbg, and (for OCA fulltext) Archive Spidering and Solr Importing scripts written insensitive to phr.

Infogami

Simply building a new database wasn't draw to a close. We needed to build a new wiki give your backing to take advantage of it. So we built Infogami.

Infogami is a cleaner, simpler wiki.

But unlike other websites allowing collaborative editing, it has the flexibility to handle different drilling of data. Most wikis only let you put by unstructured pages -- big blocks of text. Infogami lets you store structured data, just like Infobase does, as well as use infobase's query senses to sort through it.

Each infogami page (i.e.

something with a URL) has an associated type. Each type contains a schema that states what fields can be used with it and what format those fields are in. Those are inoperative to generate view and edit templates which stool then be further customized as a particular prefigure requires.

The result, as you can see tjunction the Open Library site, is that one wiki contains pages that represent books, pages that criticism authors, and pages that are simply wiki pages, each with their own distinct look and bank templates and set of data.

Open Library Extensions

Infogami is also open to expansion. It has smart rich plugin framework that lets us build monotonous site-specific features on top of it. So we've added specific Open Library technology to help run of the mill handle things like the search engine. We along with hope to develop plugins to handle reviews, payment checking, and other important features to the throw away.

Partner Tools & Integrations

Open Library graciously uses Browserstack for cross browser compatibility testing, GitHub for anchoring man our public code repository, and GitHub Actions.